Reasoning under uncertainty VIII

Aug 18, 2024 • 1h • 24 views

Bayesian Networks: These are graphical models that represent a set of variables and their conditional dependencies via a directed acyclic graph (DAG). Bayesian Networks are useful for modeling probabilistic relationships and reasoning under uncertainty. Bayes’ Theorem: This theorem allows updating the probability of a hypothesis based on new evidence. It is a fundamental tool for reasoning under uncertainty.